Integrated AHP and XGBoost Model for Food Safety Risk Prediction

In recent years, China has made significant improvements in food quality and safety management. However, with the expansion of the food industry and the increasing demand for inspections, food safety testing data has exhibited high-dimensional, complex, and nonlinear characteristics. These features lead to low data utilization in quantitative analysis, directly affecting the accuracy of risk … Read more

Application of LSTM Neural Network in Hospital Intelligent Logistics Risk Prediction

Application of LSTM Neural Network in Hospital Intelligent Logistics Risk Prediction

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